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1. In a decision tree, what is an example of a pure node?

2. When would you prefer a Naive Bayes model to a logistic regression model for classification?

3. What is an appropriate assignment for a data scientist?

4. What is the output format from the Map function of MapReduce?

5. What does the R code z <- f[1:10, ] do?

6. What is a core deliverable at the end of the analytic project?

7. Consider the following SQL statement:

SELECT employee_id, year, salary, avg(salary)

OVER

(PARTITION BY employee_id ORDER BY year ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) as result_1

FROM employee

ORDER BY employee_id, year

For each employee_id, what is returned as result_1?

8. What is the mandatory Clause that must be included when using Window functions?

9. In a fitted ARIMA(1,2,3) model, how many differences are applied?

10. If R factors are categorical variables, which data classification level are they most closely related?

11. Consider this SQL statement:

SELECT product, prod_cost, avg(prod_cost) OVER (PARTITION BY product)

FROM product_detail

The OVER clause makes this what type of function?

12. In a Student's t-test, what is the meaning of the p-value?

13. Consider these itemsets:

(hat, scarf, coat)

(hat, scarf, coat, gloves)

(hat, scarf, gloves)

(hat, gloves)

(scarf, coat, gloves)

What is the confidence of the rule (gloves -> hat)?

14. During the data preparation phase, you notice a high correlation between average spend on video games, age of players, and number of science fiction shows watched.

Which technique could you use to address the three correlated variables?

15. You are attempting to find the Euclidean distance between two centroids:

Centroid A's coordinates: (X = 2, Y = 4)

Centroid B's coordinates (X = 8, Y = 10)

Which formula finds the correct Euclidean distance?

16. In linear regression modeling, which action can be taken to improve the linearity of the relationship between the dependent and independent variables?

17. Which chart type is intended to display correlations between sets of numeric data?

18. What does the Receiver Operating Characteristic (ROC) curve show?

19. A fair six-sided die is rolled. Let A denote the event that an odd number is rolled. Let C denote the event that a 1, 2, or 3 is rolled.

What is the value of the conditional probability, P(C|A)?

20. Which word or phrase completes the statement? Business Intelligence is to ad-hoc reporting and dashboards as Data Science is to __________.

21. Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model: Y = b0 + b1x1+b2x2+….+bnxn

22. What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?

23. Refer to the exhibit.

You are using K-means clustering to classify customer behavior for a large retailer. You need to determine the optimum number of customer groups. You plot the within-sum-of- squares (wss) data as shown in the exhibit.

How many customer groups should you specify?

24. Which activity is performed in the Operationalize phase of the Data Analytics Lifecycle?

25. Which word or phrase completes the statement; “A theater actor is to ‘artistic and expressive’ as a data scientist is to.”?

26. When is the GROUP BY ROLLUP clause used in an OLAP query?

27. You have run the association rules algorithm on your data set, and the two rules {banana, apple} => {grape} and {apple, orange}=> {grape} have been found to be relevant.

What else must be true?

28. Which type of numeric value does a logistic regression model estimate?

29. You are having a discussion with a business colleague. The colleague mentions that they want to perform K-means clustering on text file data stored in HDFS.

Which tool should be recommended?

30. In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?

31. Your colleague, who is new to Hadoop, approaches you with a question. They want to know how best to access their data. This colleague has a strong background in data flow languages and programming.

Which query interface would you recommend?

32. What is a consideration when building decision trees?

33. You need to run a hypothesis test across three normally distributed populations.

Which technique should you use?

34. The Marketing department of your company wishes to track opinion on a new product that was recently introduced. Marketing would like to know how many positive and negative reviews are appearing over a given period and potentially retrieve each review for more in- depth insight.

They have identified several popular product review blogs that historically have published thousands of user reviews of your company’s products. You have been asked to provide the desired analysis.

You examine the RSS feeds for each blog and determine which fields are relevant. You then craft a regular expression to match your new product’s name and extract the relevant text from each matching review.

What is the next step you should take?

35. Which process in text analysis can be used to reduce dimensionality?

36. Which analytical method is considered unsupervised?

37. Refer to the exhibit.

Which type of data issue would you suspect based on the exhibit?

38. You have created a Logistic Regression model to predict customer churn for your company. The company’s Marketing department wants to use your model to identify at-risk customers and offer incentives to keep them from leaving.

Using two different thresholds for the model provides the two confusion matrices shown in the graphic. Marketing understands the relative costs of missing at-risk customers versus offering incentives to customers who are not at risk. Therefore, you need their advice on how to set the appropriate threshold on the churn model.

You are meeting with the Marketing team. In the meeting, you plan to state: “Raising the threshold from 0.5 to 0.75 reduces the number of unnecessary incentives that can be offered, at the cost of missing more of the customers who churned.”

What is the most appropriate visual to reinforce this statement?

A)

B)

C)

D)

39. Your customer provided you with 2, 000 unlabeled records and asked you to separate them into three groups.

What is the correct analytical method to use?

40. How is dimensionality defined in a "bag of words" document representation?